A rescue-assist wireless sensor networks for large building

This article designs a rescue-assist wireless sensor networks for fire rescue and health care in large building. This system consists of wearable tags, route sensor nodes and base station. The wearable tag detects the activity of the user. We firstly propose an efficient fall detection algorithm. This algorithm has a low computational complexity and can be used in sensor node. And the wearable tag sends emergency information to the base station when the user is detected falling down and cannot get up in a given time. And then we propose a localization method to locate the user in NLOS environment. This method removes the NLOS effects through a NLOS identification algorithm to improve the localization accuracy. The system and proposed algorithms have been put into actual test application, the experimental results demonstrate that the system is able to apply in rescue and the localization algorithm can locate the user accurately in the building.